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Open nowFirst seen 4 hours ago

Fleet Operations Manager, Data Center Infrastructure

Meta1,071 open roles

Where
Los Lunas, NM; Sarpy County, NE; Mesa, AZ; Ashburn, VA; Rayville, LA; Montgomery, AL; Prineville, OR; Lebanon, IN; Bowling Green, OH; Cedar Rapids, IA; DeKalb, IL; New Albany, OH; Tulsa, OK; Huntsville, AL; Eagle Mountain, UT
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Your applicationOpen nowFleet Operations Manager, Data Center InfrastructureMeta · Los Lunas, NM; Sarpy County, NE; Mesa, AZ; Ashburn, VA; Rayville, LA; Montgomery, AL; Prineville, OR; Lebanon, IN; Bowling Green, OH; Cedar Rapids, IA; DeKalb, IL; New Albany, OH; Tulsa, OK; Huntsville, AL; Eagle Mountain, UT

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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  4. CV RocketApplied on Meta's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 4 hours ago

Meta median: 35 days open

The posting

Meta is seeking a forward-thinking, experienced individual to join the Data Center Fleet Operations team. The Fleet Operations Manager is accountable for managing and leading a geographically dispersed team, delivering SLA/KPI’s related to production server hardware, resolution of systemic technical issues, and repairs throughout the assigned geographic region of data centers.

We are looking for someone who can prioritize competing work based on impact, deadlines, and stakeholder needs in a 24/7 data center operations environment. The ideal candidate is an IT professional with strong leadership skills and experience in Server Hardware, Project Management, Quality Management, Data Analytics, Networks, OS repair, Linux and Automation, ideally in a datacenter environment. Experience managing servers in a large-scale distributed environment is important for success in this role

Responsibilities

  • Build and lead a geographically dispersed, high-performing data center operations team, developing both the technical capabilities and leadership qualities of engineers
  • Establish and manage a Data Center Operations Team accountable for the maintenance and operation of server hardware and supporting infrastructure at scale
  • Become a technical expert in Meta's infrastructure, including platforms, tools, systems, architecture, workflows, and performance
  • Provide strategic direction, guidance, and support for site and fleet-level operations
  • Analyze and drive continuous improvement in the engineering and operational performance of our data centers
  • Employ data analytics to identify inefficiencies, opportunities, exceptions, and correlations in a complex, highly interconnected, technical environment. Enable rapid and effective problem solving, along with proactive identification and mitigation of risks and issues
  • Collaborate with cross-functional partner teams to ensure fleet health and maintain targeted capacity levels, resulting in optimized operations, minimized downtime, and seamless scalability
  • Evolve and optimize processes in a globally consistent way to allow Meta to scale and grow effectively
  • Support and mentor engineers in their day-to-day work, as well as in finding opportunities to develop and grow based on their areas of strength and interest
  • Foster an environment of ownership, innovation, collaboration, accountability, continuous improvement, and safety
  • Conduct performance management for a technical engineering team, providing clear expectations and goals
  • Assume the role of incident manager during large-scale, site-wide, and region-wide production-impacting events, as the primary point of contact for your site. This requires working cross-functionally to scope problems, mitigate risks, affect fixes, and communicate the nature, status, and resolution plan for incidents
  • Support and contribute thought leadership to the development and implementation of business practices, processes and automated tooling
  • Develop deep knowledge and ownership of a hyper-scale computing fleet through the use of data analysis to identify trends and systemic issues and opportunities; reporting out globally and sharing with peers as appropriate

Minimum Qualifications

  • BS, BA, or BEng in a technical field or commensurate experience
  • Ability to travel up to 30% is required
  • Experience participating in or leading technical projects related to areas such as process improvement, technology, and/or automation, including bringing in additional expertise as needed
  • 5+ years of experience managing teams of technical resources, including people and performance management responsibilities
  • Understanding of data center infrastructure and/or operations, including power, cooling, and/or network systems; structured cabling; and management of projects, incidents, and vendors
  • Experience using data and metrics to drive decision-making
  • Ability to influence effectively, working on cross-functional teams to advance the needs of the company and adapting teams to meet these needs
  • 10+ years of engineering or operations experience, preferably in a mature engineering or operations environment, working with cross-functional teams
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience

Preferred Qualifications

  • Experience leading technical resources using Linux or an equivalent OS to support hardware systems in a complex IT environment
  • Experience in large-scale data center hardware deployments and building scalable infrastructure
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge of the interdependencies of data center functions and technologies, including electrical, cooling, structured cabling, security, and network
  • Six Sigma knowledge/certification
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with large-scale AI implementations and the use of AI to drive automation
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

US: $163,000/year to $238,000/year + bonus + equity

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